Ling Qi

1.1k total citations
41 papers, 760 citations indexed

About

Ling Qi is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ling Qi has authored 41 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 19 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ling Qi's work include Atmospheric chemistry and aerosols (21 papers), Air Quality and Health Impacts (19 papers) and Climate variability and models (9 papers). Ling Qi is often cited by papers focused on Atmospheric chemistry and aerosols (21 papers), Air Quality and Health Impacts (19 papers) and Climate variability and models (9 papers). Ling Qi collaborates with scholars based in China, United States and Australia. Ling Qi's co-authors include Cenlin He, Qinbin Li, Shuxiao Wang, Kuo‐Nan Liou, Lance M. Leslie, Yu Gu, Sixiong Zhao, Yuhao Mao, Lance M. Leslie and L. Ruby Leung and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Ling Qi

38 papers receiving 743 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Qi China 16 661 506 247 97 44 41 760
Qilin Wan China 12 580 0.9× 491 1.0× 118 0.5× 69 0.7× 93 2.1× 55 729
Alexander Avramov United States 15 860 1.3× 764 1.5× 174 0.7× 83 0.9× 12 0.3× 24 1.0k
T. Zenker Germany 14 533 0.8× 389 0.8× 180 0.7× 90 0.9× 9 0.2× 23 653
Qian Ma China 12 279 0.4× 343 0.7× 72 0.3× 112 1.2× 11 0.3× 29 547
Li Jia China 9 771 1.2× 548 1.1× 382 1.5× 83 0.9× 49 1.1× 19 861
Sha Feng United States 18 602 0.9× 749 1.5× 103 0.4× 109 1.1× 19 0.4× 57 843
Elisa Vuillermoz Italy 12 831 1.3× 575 1.1× 300 1.2× 48 0.5× 13 0.3× 25 939
O. L. Hadley United States 10 607 0.9× 409 0.8× 277 1.1× 55 0.6× 11 0.3× 13 699
Bruno Neininger Switzerland 16 527 0.8× 482 1.0× 167 0.7× 132 1.4× 7 0.2× 26 701
Mei‐Yi Fan China 14 631 1.0× 263 0.5× 464 1.9× 190 2.0× 31 0.7× 26 732

Countries citing papers authored by Ling Qi

Since Specialization
Citations

This map shows the geographic impact of Ling Qi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ling Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Qi more than expected).

Fields of papers citing papers by Ling Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Qi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ling Qi. The network helps show where Ling Qi may publish in the future.

Co-authorship network of co-authors of Ling Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Qi. A scholar is included among the top collaborators of Ling Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Qi. Ling Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Qi, Ling, et al.. (2025). Exploring pesticide risk in autism via integrative machine learning and network toxicology. Ecotoxicology and Environmental Safety. 297. 118233–118233. 2 indexed citations
3.
Qi, Ling, Pengpeng Wu, Suzhen Cao, et al.. (2025). Comprehensive review of intake fraction methods for assessing traffic-related air pollution exposure: insights, variations, and future directions. Journal of Exposure Science & Environmental Epidemiology. 36(1). 112–124.
4.
Qi, Ling, Haotian Zheng, Dian Ding, & Shuxiao Wang. (2024). A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods. Atmospheric Environment. 338. 120854–120854. 4 indexed citations
5.
Qi, Ling, et al.. (2024). Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China. Environmental Research Letters. 19(5). 54006–54006. 3 indexed citations
6.
7.
Zhang, Fenfen, Jia Xing, Dian Ding, et al.. (2022). Role of black carbon in modulating aerosol direct effects driven by air pollution controls during 2013–2017 in China. The Science of The Total Environment. 832. 154928–154928. 8 indexed citations
8.
Qi, Ling, Haotian Zheng, Dian Ding, & Shuxiao Wang. (2022). Responses of sulfate and nitrate to anthropogenic emission changes in eastern China - in perspective of long-term variations. The Science of The Total Environment. 855. 158875–158875. 15 indexed citations
9.
Xu, Xiangyu, Ning Qin, Ling Qi, et al.. (2021). Development of season-dependent land use regression models to estimate BC and PM1 exposure. The Science of The Total Environment. 793. 148540–148540. 12 indexed citations
10.
Qi, Ling, et al.. (2019). Soil Moisture Memory and Its Effect on the Surface Water and Heat Fluxes on Seasonal and Interannual Time Scales. Journal of Geophysical Research Atmospheres. 124(20). 10730–10741. 30 indexed citations
11.
Qi, Ling & Shuxiao Wang. (2019). Fossil fuel combustion and biomass burning sources of global blackcarbon. 3 indexed citations
12.
Qi, Ling & Shuxiao Wang. (2019). Fossil fuel combustion and biomass burning sources of global black carbon from GEOS-Chem simulation and carbon isotope measurements. Atmospheric chemistry and physics. 19(17). 11545–11557. 28 indexed citations
13.
Qi, Ling, Qinbin Li, Cenlin He, Xin Wang, & Jianping Huang. (2017). Effects of the Wegener–Bergeron–Findeisen process on global black carbon distribution. Atmospheric chemistry and physics. 17(12). 7459–7479. 27 indexed citations
14.
Qi, Ling, et al.. (2017). Factors controlling black carbon distribution in the Arctic. Atmospheric chemistry and physics. 17(2). 1037–1059. 46 indexed citations
15.
Qi, Ling, et al.. (2017). Sources of springtime surface black carbon in the Arctic: an adjoint analysis for April 2008. Atmospheric chemistry and physics. 17(15). 9697–9716. 41 indexed citations
16.
Qi, Ling, Qinbin Li, Cenlin He, Xin Wang, & Jianping Huang. (2016). Effects of Wegener-Bergeron-Findeisen Process on Global BlackCarbon Distribution. 3 indexed citations
17.
He, Cenlin, Qinbin Li, Kuo‐Nan Liou, et al.. (2016). Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget. Atmospheric chemistry and physics. 16(5). 3077–3098. 50 indexed citations
18.
Mao, Yuhao, Daven K. Henze, Zhe Jiang, et al.. (2015). Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model. Atmospheric chemistry and physics. 15(13). 7685–7702. 10 indexed citations
19.
He, Cenlin, K. N. Liou, Ling Qi, et al.. (2014). A global 3-D CTM evaluation of black carbon in the Tibetan Plateau. Atmospheric chemistry and physics. 14(13). 7091–7112. 43 indexed citations
20.
Mao, Yuhao, Daven K. Henze, Zhe Jiang, et al.. (2014). Variational estimates of black carbon emissions in the western United States. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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